Euntae Yang

84 total papers · 3.0k total citations
70 papers, 2.4k citations indexed

About

Euntae Yang is a scholar working on Water Science and Technology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Euntae Yang has authored 70 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Water Science and Technology, 31 papers in Biomedical Engineering and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Euntae Yang's work include Membrane Separation Technologies (30 papers), Microbial Fuel Cells and Bioremediation (22 papers) and Membrane-based Ion Separation Techniques (18 papers). Euntae Yang is often cited by papers focused on Membrane Separation Technologies (30 papers), Microbial Fuel Cells and Bioremediation (22 papers) and Membrane-based Ion Separation Techniques (18 papers). Euntae Yang collaborates with scholars based in South Korea, United States and Singapore. Euntae Yang's co-authors include In S. Kim, Kyu‐Jung Chae, Chang‐Min Kim, Kyoung‐Yeol Kim, Kunli Goh, Tae‐Hyun Bae, Junho Song, Chong Yang Chuah, H. Enis Karahan and Moon‐Ho Ham and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Euntae Yang

66 papers receiving 2.3k citations

Hit Papers

MXene Materials for Desig... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Euntae Yang 1.0k 1.0k 794 754 637 70 2.4k
Hanaa M. Hegab 1.4k 1.4× 1.6k 1.6× 1.0k 1.3× 909 1.2× 691 1.1× 55 3.3k
M. Obaid 1.1k 1.1× 1.2k 1.1× 476 0.6× 1.0k 1.3× 377 0.6× 63 2.7k
Kuichang Zuo 1.8k 1.7× 1.6k 1.5× 345 0.4× 835 1.1× 562 0.9× 73 2.8k
Han Wang 777 0.8× 512 0.5× 394 0.5× 773 1.0× 314 0.5× 66 2.1k
Yinghui Mo 1.4k 1.4× 1.3k 1.2× 376 0.5× 777 1.0× 199 0.3× 36 2.3k
Qian Hu 768 0.7× 729 0.7× 998 1.3× 570 0.8× 166 0.3× 66 3.2k
Shaofeng Zhou 478 0.5× 520 0.5× 593 0.7× 591 0.8× 180 0.3× 74 2.5k
Yongzhen Chen 539 0.5× 459 0.4× 373 0.5× 750 1.0× 415 0.7× 56 2.1k
Churl‐Hee Cho 725 0.7× 793 0.8× 536 0.7× 686 0.9× 167 0.3× 74 2.0k
Waheed Miran 359 0.3× 718 0.7× 1.3k 1.7× 790 1.0× 740 1.2× 72 2.8k

Countries citing papers authored by Euntae Yang

Since Specialization
Citations

This map shows the geographic impact of Euntae Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Euntae Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Euntae Yang more than expected).

Fields of papers citing papers by Euntae Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Euntae Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Euntae Yang. The network helps show where Euntae Yang may publish in the future.

Co-authorship network of co-authors of Euntae Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Euntae Yang. A scholar is included among the top collaborators of Euntae Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Euntae Yang. Euntae Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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